Scope3Trace: Evidence-Based Identification and Extraction of Scope 3 GHG Emissions from Sustainability Reports
Scope 3 greenhouse gas (GHG) emissions account for the majority of corporate carbon footprints, yet remain difficult to analyze at scale due to sparse disclosures, heterogeneous report document formats, and limited evidence traceability. Existing approaches typically rely on large language models to extract emissions information from ESG reports, but often lack explicit evidence grounding or depend on costly manual annotation and verification to ensure extraction reliability. To address these challenges, we propose Scope3Trace, an evidence-grounded information extraction framework designed to
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- PossiblePossibly related (embedding) · 48%AI Turns Emissions Data Into ROI-Generating Insights | Editors Choice | Magazine - American Oil & Gas Reporter →
- LinkedLinked via arxiv author · 85%Siyuan Zheng →
“Scope3Trace: Evidence-Based Identification and Extraction of Scope 3 GHG Emissions from Sustainability Reports”
- LinkedLinked via arxiv author · 85%Yifan Duan →
“Scope3Trace: Evidence-Based Identification and Extraction of Scope 3 GHG Emissions from Sustainability Reports”
- LinkedLinked via arxiv author · 85%Chao Xue →
“Scope3Trace: Evidence-Based Identification and Extraction of Scope 3 GHG Emissions from Sustainability Reports”
- LinkedLinked via arxiv author · 85%Flora D. Salim →
“Scope3Trace: Evidence-Based Identification and Extraction of Scope 3 GHG Emissions from Sustainability Reports”